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Cuda Engineer Jobs in Indiana (NOW HIRING)

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Cuda Engineer information

See Indiana salary details

$34.7K

$102.1K

$130.8K

How much do cuda engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for cuda engineer in Indiana is $102,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,200.00 and $129,400.00 per year, depending on experience, location, and employer.

What are CUDA Engineers?

CUDA Engineers are software developers who specialize in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to write programs that run on Graphics Processing Units (GPUs). They optimize and accelerate computational tasks by parallelizing code, making use of GPUs’ capabilities for high-performance computing. CUDA Engineers often work in fields like machine learning, scientific computing, and graphics, where large amounts of data need to be processed quickly. Their expertise includes proficiency in C/C++, CUDA programming, and understanding GPU hardware and parallel computing concepts.

What is the difference between Cuda Engineer vs GPU Developer?

AspectCuda EngineerGPU Developer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related; knowledge of CUDA, C++, parallel programmingBachelor's or Master's in Computer Science, Engineering, or related; experience with GPU programming, CUDA, OpenCL
Work EnvironmentResearch labs, tech companies, hardware firms focusing on GPU accelerationSoftware development teams, gaming, AI, scientific computing sectors
Employer & Industry UsageHardware manufacturers, AI companies, high-performance computing firmsGame development, scientific research, machine learning applications

While both roles involve GPU programming and CUDA expertise, a Cuda Engineer primarily focuses on developing and optimizing CUDA-based solutions for hardware acceleration. In contrast, a GPU Developer works on broader GPU programming tasks, including application development across various platforms. The roles often overlap but differ in scope and specific focus areas.

What are some common challenges faced by CUDA Engineers when optimizing GPU-accelerated applications?

CUDA Engineers frequently encounter challenges such as managing memory effectively between the host and the device, optimizing kernel performance, and minimizing data transfer bottlenecks. Debugging parallel code can also be complex due to race conditions and the difficulty of reproducing timing-related bugs. Collaborating closely with software developers and data scientists is essential to ensure that GPU resources are leveraged efficiently and that the application's overall performance meets project goals.

What are the key skills and qualifications needed to thrive as a CUDA Engineer, and why are they important?

To thrive as a CUDA Engineer, you need a strong proficiency in C/C++ programming, parallel computing concepts, and deep knowledge of GPU architectures, often supported by a computer science or engineering degree. Experience with NVIDIA CUDA Toolkit, profiling/debugging tools, and sometimes certifications like NVIDIA DLI are highly valuable. Strong problem-solving, attention to detail, and effective communication skills help you optimize code and collaborate across teams. These skills ensure efficient development of high-performance GPU applications and successful project delivery in compute-intensive fields.
What are popular job titles related to Cuda Engineer jobs in Indiana? For Cuda Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Cuda Engineer jobs in Indiana look for? The top searched job categories for Cuda Engineer jobs in Indiana are:
Cuda Engineer jobs near you
Infographic showing various Cuda Engineer job openings in Indiana as of June 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $102,085 per year, or $49.1 per hour.

Lead, Systems Engineering (Detection Algorithm Development)

L3HHCM20

Fort Wayne, IN

Other

Posted 25 days ago

Job description

Job Title: Lead, Systems Engineering (Detection Algorithm Development)

Job Code:  38225

Job Location:  Fort Wayne, IN

Job Schedule: 9/80 (Every other Friday off)

 

Job Description:

The ideal candidate for this position has extensive knowledge of EO/IR image / video processing techniques that can be implemented in low size, weight, and power (SWaP) space systems. Candidate will provide direct contributions and act as a technical lead for algorithm development, analysis, integration into flight hardware, on-orbit troubleshooting, and future pursuits.

Algorithm performance plays a key role in all stages of program life cycle. Candidate needs to be comfortable working with end customers to understand requirements and capabilities define and run trade studies to meet customer requirements. Candidate will also work closely with other systems engineers to define CONOPs, ICDs, and implementation requirements.

Essential Functions:

  • Lead/support development of image and video processing algorithm solutions for space based EO/IR systems
  • Lead/support analysis of image and video processing algorithms in support of system level trade studies, requirement compliance and system characterization. Perform modeling & simulation activities to accurately model Earth observing EO/IR systems in LEO, MEO, and GEO.
  • Support systems engineering trade studies, CONOP development, and modeling/simulation efforts
  • Implement custom and OpenCV-based image/video processing algorithms in FPGAs, GPUs, or embedded systems
  • Perform rapid complex trade studies assessing a variety of algorithms to achieve optimal performance. Comfortable using tools such as NumPy, SciPy, scikit-learn, PyTorch, CV2, CUDA.
  • Familiar with Overhead Persistent InfraRed (OPIR) imagery and phenomenology
  • Develop and improve instrument documentation, processes, and test procedures
  • Support concept of operation development and requirements analysis, decomposition, and generation at various levels of the system
  • Support requirements traceability and development of test plans to cover requirements
  • Support integration and test of electro-optical/infrared systems and related hardware/software
  • Provide support to engineering in developing technical specifications, interface control documents, test plans and procedures, and test conformance to specifications

Qualifications:

  • Bachelor's Degree in engineering and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience.
  • 5+ years experience in Python, C/C++, or VHDL
  • Professional experience implementing image/video processing algorithms in FPGAs, GPUs, or embedded systems
  • Active DoD Secret clearance


Preferred Additional Skills:

  • Strong background in mathematics or physics
  • Experience developing embedded software / firmware
  • Ability to read/write C/C++ software
  • Inter-personal and communication skills, ability to interact with a cross functional team
  • Ability to collaborate across all levels of leadership
  • Able to work with general direction or supervision in a demanding environment
  • Experience with data analysis and/or modeling and simulation (e.g. with MATLAB/Python)
  • Experience with estimating and managing costs
  • Experience architecting, analyzing, developing, and integrating end to end systems in areas such as EO/IR, RF, or space payload and spacecraft bus subsystems
  • Familiarity with program management, cost account management, integrated product teams

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